2019
DOI: 10.1103/physreve.99.012904
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Evolution of fragment size distributions from the crushing of granular materials

Abstract: We study the fragment size distributions after crushing of single and many particles under uniaxial compression inside a cylindrical container by means of numerical simulations. Under the assumption that breaking goes through the bulk of the particle we obtain the size distributions of fragments for both cases after large displacements. For the single particle crushing, this fragmentation mechanism produces a log-normal size distribution, which deviates from the power-law distribution of fragment sizes for the… Show more

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Cited by 19 publications
(5 citation statements)
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“…Following Refs. [11,12], we impose disorder and asymmetry by placing vertices randomly on the surface of an ellipsoid with normalized axes a e = 1, b e = 0.95, and c e = 0.9.…”
Section: Methodsmentioning
confidence: 99%
“…Following Refs. [11,12], we impose disorder and asymmetry by placing vertices randomly on the surface of an ellipsoid with normalized axes a e = 1, b e = 0.95, and c e = 0.9.…”
Section: Methodsmentioning
confidence: 99%
“…Intriguingly, it is often observed in fragmented granular matter that N (M ) decays as a power of increasing M with an exponent τ , N (M ) ∼ M −τ [21]. This has been seen in experiments and simulations of impacted [22][23][24][25], crushed [26][27][28][29], and sheared [1,30] solids. Fragmentation has therefore been postulated to be an instance of self-organized criticality [13,22,31], a theory that some systems can naturally evolve towards a critical state [32].…”
mentioning
confidence: 87%
“…In ballistic impacts, τ depended on the initial geometry [22]. In simulations, τ may depend on plasticity [25], the extent of loading [29], and the rules of fracture [49]. Lattice models suggested fragility may affect τ [21].…”
mentioning
confidence: 99%
“…Numerical approaches have proven successful at analyzing these materials because they are able to reproduce complex failure mechanisms under controlled geometries. Some of these approaches use, for example, finite-elements (Sulem and Cerrolaza, 2002;Amir Reza Beyabanaki et al, 2009), discrete-element methods with bonded bodies (Potyondy and Cundall, 2004;Cho et al, 2007;Lan et al, 2010;Scholtès and Donzé, 2013;Kazerani, 2013;Gao and Stead, 2014), splitting or replacing mechanisms (Cantor et al, 2015;Ciantia et al, 2015;Gladkyy and Kuna, 2017;Iliev et al, 2019), or coupled discrete-finite element strategies (Mahabadi et al, 2010;Bagherzadeh Kh. et al, 2011;Guo and Zhao, 2014;Ma et al, 2014).…”
Section: Numerical Modelingmentioning
confidence: 99%